Live-feeling communication: Multi-algorithm approach to the estimation of human Intentions

Martin Lukac, Michitaka Kameyama, Yevgeniya Migranova

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Live-feeling communication is a seamless process of intelligent system estimating user intention solely on passive user-to-robot communication of user emotions and body movements. In this paper we study the live-feeling communication in an entertainment framework; a real-time streaming event (football) is split into set of important and relevant scenes, and for each scene the user intention is estimated. For each scene the amount of desired details and the desired content is estimated. In order to obtain the best possible estimation result we predict the user intention for each scene using a set of different predictors by using a parameter search approach. We show that using the collected data certain situations can be estimated with accuracy of up to 95% while others are still beyond the reach of the used prediction algorithms.

    Original languageEnglish
    Title of host publication2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages2152-2157
    Number of pages6
    Volume2017-January
    ISBN (Electronic)9781538616451
    DOIs
    Publication statusPublished - Nov 27 2017
    Event2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 - Banff, Canada
    Duration: Oct 5 2017Oct 8 2017

    Conference

    Conference2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
    CountryCanada
    CityBanff
    Period10/5/1710/8/17

    Fingerprint

    Communication
    Intelligent systems
    Robots
    Intelligent Systems
    Streaming
    Predictors
    Robot
    Human
    Real-time
    Predict
    Prediction
    Movement
    Emotion
    Framework

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Computer Science Applications
    • Human-Computer Interaction
    • Control and Optimization

    Cite this

    Lukac, M., Kameyama, M., & Migranova, Y. (2017). Live-feeling communication: Multi-algorithm approach to the estimation of human Intentions. In 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 (Vol. 2017-January, pp. 2152-2157). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMC.2017.8122938

    Live-feeling communication : Multi-algorithm approach to the estimation of human Intentions. / Lukac, Martin; Kameyama, Michitaka; Migranova, Yevgeniya.

    2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. p. 2152-2157.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Lukac, M, Kameyama, M & Migranova, Y 2017, Live-feeling communication: Multi-algorithm approach to the estimation of human Intentions. in 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017. vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 2152-2157, 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, Banff, Canada, 10/5/17. https://doi.org/10.1109/SMC.2017.8122938
    Lukac M, Kameyama M, Migranova Y. Live-feeling communication: Multi-algorithm approach to the estimation of human Intentions. In 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017. Vol. 2017-January. Institute of Electrical and Electronics Engineers Inc. 2017. p. 2152-2157 https://doi.org/10.1109/SMC.2017.8122938
    Lukac, Martin ; Kameyama, Michitaka ; Migranova, Yevgeniya. / Live-feeling communication : Multi-algorithm approach to the estimation of human Intentions. 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. pp. 2152-2157
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